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Applied statistics and multivariate data analysis for business and economics : a modern approach using SPSS, Stata, and Excel

Author: Thomas Cleff
Publisher: Cham, Switzerland : Springer, [2019]
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Cleff, Thomas.
Applied statistics and multivariate data analysis for business and economics.
Cham, Switzerland : Springer, [2019]
(OCoLC)1090200683
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Thomas Cleff
ISBN: 9783030177676 303017767X
OCLC Number: 1110229734
Description: 1 online resource
Contents: Statistics and Empirical Research --
From Disarray to Dataset --
Univariate Data Analysis --
Bivariate Association --
Classical Measurement Theory.-Calculating Probability --
Random Variables and Probability Distributions --
Parameter Estimation --
Hypothesis Testing --
Regression Analysis --
Time Series and Indices --
Cluster Analysis --
Factor Analysis.
Responsibility: Thomas Cleff.

Abstract:

This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.

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